Modern Approaches to Finance

Michael Segala is the CEO and co-founder of SFL Scientific, a data science consulting firm that specializes in big data solutions. His firm leverages advanced machine learning and analytics techniques to provide insight into numerous industry-spanning problems, from healthcare to stock market prediction. Before founding SFL Scientific, Michael worked as a data scientist in several well-known tech companies, such as Compete Inc. and Akamai Technologies. He holds a PhD in Particle Physics from Brown University.

Presentation Description

Given the high volume of accurate historical data and the underlying quantitative nature of the industry, the financial sector is well suited for machine learning. Today data science has found many integral roles in the this financial ecosystem